Optimization of trading physics models of markets

We describe an end-to-end real-time S&P futures trading system. Inner-shell stochastic nonlinear dynamic models are developed, and canonical momenta indicators are derived from a fitted Lagrangian used by outer-shell trading models dependent on these indicators. Recursive and adaptive optimization using adaptive simulated annealing is used for fitting parameters shared across these shells of dynamics and trading models.